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CodexGuide - Comprehensive practical guide for OpenAI Codex across CLI, desktop app, cloud, and IDE integrations for beginners to teams

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codexguide-reference
description
CodexGuide - Comprehensive practical guide for OpenAI Codex across CLI, desktop app, cloud, and IDE integrations for beginners to teams
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["how do I get started with OpenAI Codex","show me CodexGuide documentation","help me set up Codex CLI","what's the difference between Codex app and CLI","how to configure AGENTS.md for my project","guide me through Codex sandbox and approvals","Codex best practices for teams","troubleshoot Codex installation issues"]
# CodexGuide Reference > Skill by [ara.so](https://ara.so) — Codex Skills collection. CodexGuide is a comprehensive practical guide for OpenAI Codex that helps beginners, creators, developers, and teams learn how to effectively use Codex across different interfaces (CLI, desktop app, cloud, IDE extensions) and integrate it into real-world workflows. ## What CodexGuide Covers CodexGuide addresses three core questions: 1. **How to start**: Which entry point, task, and settings should beginners use 2. **How to deliver**: How to communicate requirements so Codex can read projects, modify files, run commands, and produce verifiable results 3. **How to accumulate**: How to turn successful tasks into reusable templates, rules, cases, and safety boundaries for teams The guide is organized into: - **Entry paths**: Desktop app, CLI, Cloud/Web, IDE extensions, ChatGPT mobile - **Configuration topics**: CLI options, `config.toml`, MCP, Skills, Subagents, security approvals - **Workflow methods**: Task design, verification approaches, non-development workflows, team playbooks - **Practical cases**: PPT, Draw.io, browser automation, Obsidian, Feishu, Figma, Notion, CI fixes - **Official references**: OpenAI documentation index and authoritative sources ## Accessing CodexGuide ### Online Documentation Visit the comprehensive documentation site: ```bash # Online reading https://codexguide.ai/ # Direct paths https://codexguide.ai/guide/00-overview.html # Learning roadmap https://codexguide.ai/platform/ # Platform comparison https://codexguide.ai/configuration/ # Configuration topics https://codexguide.ai/practice/ # Practice methods https://codexguide.ai/recipes/ # Real-world cases ``` ### Local Development Clone and run the documentation locally: ```bash # Clone the repository git clone https://github.com/freestylefly/CodexGuide.git cd CodexGuide # Install dependencies (requires Node.js 18+) pnpm install # Start development server pnpm dev # Build static site pnpm build ``` ## Key Learning Paths ### For First-Time Users 1. **Start with desktop app** ([guide/01-app-installation.md](https://codexguide.ai/guide/01-app-installation.html)) - Download and install Codex desktop app - Subscribe to Plus/Pro - Understand the interface - Complete first low-risk task 2. **Mobile coordination** ([guide/04-mobile-control-desktop.md](https://codexguide.ai/guide/04-mobile-control-desktop.html)) - Use ChatGPT mobile app to track desktop tasks - Coordinate between devices ### For Developers Integrating Codex 1. **CLI setup** ([guide/11-cli-installation.md](https://codexguide.ai/guide/11-cli-installation.html)): ```bash # Install Codex CLI npm install -g @openai/codex-cli # Login codex login # Initialize in your project cd your-project codex init # Run your first task codex "add unit tests for the authentication module" ``` 2. **Project configuration with AGENTS.md** ([guide/14-agents-md.md](https://codexguide.ai/guide/14-agents-md.html)): ```markdown # AGENTS.md example structure ## Project Overview Brief description of the project, tech stack, and purpose. ## Development Rules - Code style guidelines - Testing requirements - File organization patterns ## Task Boundaries - What Codex should do - What requires human approval - Security constraints ## Common Tasks ### Adding a feature 1. Create feature branch 2. Write tests first 3. Implement feature 4. Update documentation ### Fixing a bug 1. Reproduce the issue 2. Add regression test 3. Fix and verify 4. Update changelog ``` 3. **Sandbox and approvals** ([guide/15-sandbox-approvals.md](https://codexguide.ai/guide/15-sandbox-approvals.html)): ```toml # config.toml example [sandbox] enabled = true allowed_commands = ["npm", "git", "pytest"] allowed_paths = ["src/", "tests/", "docs/"] [approvals] require_approval_for_commands = ["rm", "docker", "kubectl"] require_approval_for_paths = [".env", "secrets/"] require_approval_for_network = true ``` ### For Teams and Tool Builders 1. **Team playbook structure** ([practice/team-playbook.md](https://codexguide.ai/practice/team-playbook.html)): ```markdown ## Team Codex Playbook ### Entry Point Selection - CLI for local development - Cloud for code review and collaboration - IDE extensions for inline assistance ### Shared AGENTS.md - Team coding standards - Approval workflows - Security boundaries - Communication patterns ### Task Templates #### Feature Development - Requirements gathering - Test-driven approach - Documentation updates - Code review process #### Bug Fixes - Reproduction steps - Root cause analysis - Fix verification - Regression prevention ### Review and Iteration - Weekly retrospectives - Template updates - Security audit - Knowledge sharing ``` 2. **Security configuration** ([configuration/security-admin.md](https://codexguide.ai/configuration/security-admin.html)): ```toml # Security-focused config.toml [security] # Prevent access to sensitive files blocked_paths = [ ".env", ".env.*", "secrets/", "credentials/", "*.pem", "*.key" ] # Require approval for destructive operations dangerous_commands = [ "rm -rf", "drop table", "delete from", "docker system prune", "kubectl delete" ] # Network restrictions allow_network_access = false allowed_domains = ["api.example.com", "docs.example.com"] # Credential management never_log_credentials = true use_env_vars = true ``` ## Platform Comparison ### CLI vs Desktop App vs Cloud vs IDE **Use CLI when:** - Working in existing projects with Git - Need deep project context and multi-file edits - Want to run commands and verify results locally - Integrating with CI/CD pipelines **Use Desktop App when:** - First-time user learning Codex - Need visual interface and file tree - Want to preview changes before applying - Working on personal projects with lower risk **Use Cloud/Web when:** - Collaborating with team on code review - Sharing Codex sessions with others - Need access from any browser - Working on documentation or analysis **Use IDE Extensions when:** - Want inline code suggestions - Need context-aware completions - Prefer staying in your editor (VS Code, Cursor, etc.) - Working on focused, file-level tasks ## Configuration Topics ### CLI Options ```bash # Basic usage codex "task description" # Specify files codex "refactor this file" --files src/app.js # Approve all changes automatically (use with caution) codex "add logging" --auto-approve # Use specific model codex "optimize performance" --model gpt-4 # Dry run (show plan without executing) codex "migrate database" --dry-run # Include specific context codex "fix bug" --context tests/,docs/ # Set working directory codex "update configs" --cwd ./backend ``` ### MCP (Model Context Protocol) Integration ```json { "mcp": { "enabled": true, "providers": [ { "name": "github", "type": "repository", "config": { "owner": "your-org", "repo": "your-repo" } }, { "name": "slack", "type": "communication", "config": { "workspace_id": "${SLACK_WORKSPACE_ID}" } } ] } } ``` ### Skills and Subagents ```yaml # skill.yaml example name: python-testing-expert description: Expert in Python testing with pytest triggers: - write tests for this Python module - add pytest fixtures - mock external dependencies capabilities: - pytest - unittest - mocking - fixtures - parametrization instructions: | When writing Python tests: 1. Use pytest as the default framework 2. Organize tests in test_*.py files 3. Use fixtures for setup/teardown 4. Mock external API calls 5. Include docstrings explaining test purpose 6. Aim for >80% coverage ``` ## Common Workflow Patterns ### Development Task Flow ```bash # 1. Start with clear task description codex "implement user authentication with JWT tokens" # 2. Review proposed changes # Codex will show files to be modified and plan # 3. Approve or iterate # Type 'y' to approve, 'n' to reject, or provide feedback # 4. Verify results npm test npm run lint # 5. Commit changes git add . git commit -m "feat: add JWT authentication" ``` ### Non-Development Workflows **Content Creation:** ```bash # Generate documentation codex "create API documentation from source code" # Create presentations codex "generate PowerPoint outline for quarterly review" # Organize knowledge base codex "convert meeting notes to Obsidian markdown with tags" ``` **Browser Automation:** ```bash # Web scraping codex "scrape product data from this e-commerce site" # Form filling codex "automate form submission for these entries" ``` **Data Processing:** ```bash # CSV manipulation codex "merge these three CSV files and remove duplicates" # Data analysis codex "analyze sales data and generate summary report" ``` ## Troubleshooting ### Common Issues **Authentication errors:** ```bash # Re-login codex logout codex login # Check authentication status codex whoami ``` **Permission errors:** ```bash # Check sandbox configuration cat ~/.config/codex/config.toml # Temporarily disable sandbox for debugging (use carefully) codex "task" --no-sandbox ``` **Context not loaded:** ```bash # Explicitly specify context files codex "task" --context src/,tests/,README.md # Re-initialize project rm -rf .codex codex init ``` **Changes not applied:** ```bash # Check git status git status # Review Codex session logs codex logs # Use verbose mode codex "task" --verbose ``` ## Real-World Examples ### Example 1: Adding Tests to Existing Code ```bash # Task: Add comprehensive tests for a Python module codex "add pytest tests for src/auth/jwt.py with at least 90% coverage" # Codex will: # 1. Analyze existing code # 2. Create tests/auth/test_jwt.py # 3. Add fixtures in tests/conftest.py # 4. Mock external dependencies # 5. Add parametrized tests for edge cases ``` Generated test file: ```python import pytest from unittest.mock import patch, MagicMock from src.auth.jwt import create_token, verify_token, TokenExpiredError @pytest.fixture def mock_user(): return { "id": 123, "email": "user@example.com", "role": "admin" } def test_create_token_success(mock_user): token = create_token(mock_user) assert isinstance(token, str) assert len(token) > 0 def test_verify_token_valid(mock_user): token = create_token(mock_user) payload = verify_token(token) assert payload["id"] == mock_user["id"] assert payload["email"] == mock_user["email"] @pytest.mark.parametrize("invalid_token", [ "", "invalid.token.string", "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.invalid", ]) def test_verify_token_invalid(invalid_token): with pytest.raises(ValueError): verify_token(invalid_token) @patch('src.auth.jwt.datetime') def test_token_expiration(mock_datetime, mock_user): # Mock time to test expiration mock_datetime.utcnow.return_value = datetime(2026, 1, 1) token = create_token(mock_user, expires_in=3600) # Move time forward past expiration mock_datetime.utcnow.return_value = datetime(2026, 1, 2) with pytest.raises(TokenExpiredError): verify_token(token) ``` ### Example 2: Creating AGENTS.md for a React Project ```bash codex "create an AGENTS.md file with rules for our React TypeScript project" ``` Generated AGENTS.md: ```markdown # AGENTS.md ## Project Overview React TypeScript application with Material-UI components and Redux Toolkit for state management. ## Tech Stack - React 18.2 - TypeScript 5.0 - Material-UI 5.x - Redux Toolkit - React Router 6 - Vite ## Development Rules ### Code Style - Use functional components with hooks - Prefer named exports over default exports - Use TypeScript strict mode - Follow ESLint and Prettier configurations - Maximum component file size: 300 lines ### Component Structure ```typescript // src/components/ExampleComponent.tsx import React from 'react'; import { Box, Typography } from '@mui/material'; interface ExampleComponentProps { title: string; onAction: () => void; } export const ExampleComponent: React.FC<ExampleComponentProps> = ({ title, onAction }) => { return ( <Box> <Typography variant="h5">{title}</Typography> </Box> ); }; ``` ### State Management - Use Redux Toolkit for global state - Use local state for component-specific data - Create slices in `src/store/slices/` - Use typed hooks from `src/store/hooks.ts` ### Testing Requirements - Unit tests for utility functions - Component tests with React Testing Library - Minimum 70% coverage - Mock API calls in tests ### File Organization ``` src/ ├── components/ # Reusable UI components ├── pages/ # Route-level components
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Este SKILL.md es muy grande, por eso SkillsMP muestra aqui solo la primera seccion. Ver en GitHub